fix: align pooled symbol features at training

tools/train_torch_recurrent_forecaster.py

@@ -361,6 +361,7 @@ def _train_pooled_symbols(
         prepared_by_symbol: dict[str, PreparedData] = {}
         for symbol in symbols:
             prepared = _prepare_data(
+                symbol=symbol,
                 candles=market_candles[symbol],
                 feature_names=feature_names,
                 lookback=lookback,
@@ -654,6 +655,7 @@ def _train_symbol(
     for lookback in lookbacks:
         _progress(f"{symbol}: preparing lookback={lookback}")
         prepared = _prepare_data(
+            symbol=symbol,
             candles=candles,
             feature_names=feature_names,
             lookback=lookback,
@@ -777,6 +779,7 @@ def _train_symbol(
 
 def _prepare_data(
     *,
+    symbol: str,
     candles: list[Candle],
     feature_names: list[str],
     lookback: int,
@@ -796,6 +799,7 @@ def _prepare_data(
     feature_rows = _feature_matrix(
         candles,
         feature_names,
+        symbol=symbol,
         market_candles=market_candles,
         trend_candles=trend_candles,
     )